Image analysis and multi‐layer perceptron artificial neural networks for the discrimination between benign and malignant endometrial lesions
Sign Up to like & getrecommendations! Published in 2017 at "Diagnostic Cytopathology"
DOI: 10.1002/dc.23649
Abstract: This study aims to investigate the efficacy of an Artificial Neural Network based on Multi‐Layer Perceptron (ANN–MPL) to discriminate between benign and malignant endometrial nuclei and lesions in cytological specimens. read more here.
Keywords: benign malignant; layer perceptron; multi layer; artificial neural ... See more keywords
Design and implementation of a neighborhood search biogeography-based optimization trainer for classifying sonar dataset using multi-layer perceptron neural network
Sign Up to like & getrecommendations! Published in 2018 at "Analog Integrated Circuits and Signal Processing"
DOI: 10.1007/s10470-018-1366-3
Abstract: Multi-Layer Perceptron Neural Network (MLP NN) is one of the most applicable tools in solving complicated problems as well as classifying between target and non-target in sonar applications. In this paper, we use Biogeography-based Optimization… read more here.
Keywords: biogeography based; network; perceptron neural; multi layer ... See more keywords
A Reliable Time-Domain Spectrum Hole Prediction for Cognitive Radio Networks Using Regularized Multi-Layer Perceptron
Sign Up to like & getrecommendations! Published in 2017 at "Wireless Personal Communications"
DOI: 10.1007/s11277-017-4193-4
Abstract: A novel spectrum prediction technique based on multi-layer perceptron is proposed to effectively identify spectrum holes in time domain for cognitive radio networks (CRNs). This scheme adopts a more comprehensive input space (e.g. traffic parameters… read more here.
Keywords: spectrum hole; multi layer; layer perceptron; time domain ... See more keywords
Groundwater quality modeling using a novel hybrid data-intelligence model based on gray wolf optimization algorithm and multi-layer perceptron artificial neural network: a case study in Asadabad Plain, Hamedan, Iran
Sign Up to like & getrecommendations! Published in 2021 at "Environmental Science and Pollution Research"
DOI: 10.1007/s11356-021-16300-4
Abstract: Monitoring and assessment of groundwater quality (GWQ) as an important freshwater source for drinking purposes in urban and rural regions of developing countries due to rapidly increasing contamination is one of the concerns of water… read more here.
Keywords: network; perceptron artificial; artificial neural; multi layer ... See more keywords
Battle royale optimizer for training multi-layer perceptron
Sign Up to like & getrecommendations! Published in 2021 at "Evolving Systems"
DOI: 10.1007/s12530-021-09401-5
Abstract: Artificial neural network (ANN) is one of the most successful tools in machine learning. The success of ANN mostly depends on its architecture and learning procedure. Multi-layer perceptron (MLP) is a popular form of ANN.… read more here.
Keywords: layer perceptron; battle royale; optimization; multi layer ... See more keywords
A self-organizing map and a normalizing multi-layer perceptron approach to baselining in prognostics under dynamic regimes
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.05.031
Abstract: Abstract When the influence of changing operational and environmental conditions is not factored out, it can be dificult to observe a clear deterioration path. This can significantly affect the task of prognostics and other analytic… read more here.
Keywords: organizing map; multi layer; approach; layer perceptron ... See more keywords
Adaptive respiratory signal prediction using dual multi-layer perceptron neural networks.
Sign Up to like & getrecommendations! Published in 2020 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/abb170
Abstract: PURPOSE To improve the prediction accuracy of respiratory signals by adapting the multi-layer perceptron neural network (MLP-NN) model to changing respiratory signals. We have previously developed an MLP-NN to predict respiratory signals obtained from a… read more here.
Keywords: respiratory signals; multi layer; layer perceptron; mlp ... See more keywords
Multi-Scale U-Shape MLP for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3141547
Abstract: Hyperspectral images (HSIs) have significant applications in various domains, since they register numerous semantic and spatial information in the spectral band with spatial variability of spectral signatures. Two critical challenges in identifying pixels of the… read more here.
Keywords: shape mlp; multi scale; multi layer; layer perceptron ... See more keywords
Center Manifold Analysis of Plateau Phenomena Caused by Degeneration of Three-Layer Perceptron
Sign Up to like & getrecommendations! Published in 2020 at "Neural Computation"
DOI: 10.1162/neco_a_01268
Abstract: A hierarchical neural network usually has many singular regions in the parameter space due to the degeneration of hidden units. Here, we focus on a three-layer perceptron, which has one-dimensional singular regions comprising both attractive… read more here.
Keywords: center manifold; degeneration; layer perceptron; three layer ... See more keywords
Improving the Avoidant Personality Disorder Prediction for Higher Education Using SMOTE-ENN and Multi-Layer Perceptron Neural Network
Sign Up to like & getrecommendations! Published in 2023 at "TEM Journal"
DOI: 10.18421/tem122-47
Abstract: Adolescents in higher education are more prone to Avoidant Personality Disorder (AVPD), which strongly affects academic achievement. The goal of this study was to create models for accurate prediction of the likelihood of Avoidant Personality… read more here.
Keywords: higher education; multi layer; avoidant personality; gain ... See more keywords
Development of a Modality-Invariant Multi-Layer Perceptron to Predict Operational Events in Motor-Manual Willow Felling Operations
Sign Up to like & getrecommendations! Published in 2021 at "Forests"
DOI: 10.3390/f12040406
Abstract: Motor-manual operations are commonly implemented in the traditional and short rotation forestry. Deep knowledge of their performance is needed for various strategic, tactical and operational decisions that rely on large amounts of data. To overcome… read more here.
Keywords: motor manual; multi layer; layer perceptron; model ... See more keywords